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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Manajemen dan Organisasi Jurnal Manajemen dan Agribisnis Jurnal Sosio Ekonomika Bisnis JURNAL SISTEM INFORMASI BISNIS Jurnal Manajemen Teknologi Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) JAM : Jurnal Aplikasi Manajemen Indonesian Journal of Business and Entrepreneurship (IJBE) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Journal of Consumer Science Jurnal Manajemen Teori dan Terapan Journal of Information Systems Engineering and Business Intelligence Cosmogov: Jurnal Ilmu Pemerintahan Proceeding of the Electrical Engineering Computer Science and Informatics International Research Journal of Business Studies (E-Journal) Agregat: Jurnal Ekonomi dan Bisnis Journal of Regional and Rural Development Planning Jurnal Organisasi Dan Manajemen Buletin Ilmiah Litbang Perdagangan JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Applied Information System and Management Petir Aptisi Transactions on Technopreneurship (ATT) International Journal of Business Studies Jurnal Ilmiah Manajemen Kesatuan Journal of Applied Data Sciences Business Review and Case Studies International Journal of Engineering, Science and Information Technology Indonesian Journal of Multidisciplinary Science Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis Akuntansi: Jurnal Riset Ilmu Akuntansi AGRARIS: Journal of Agribusiness and Rural Development Research Asian Journal of Social and Humanities International Research Journal of Business Studies
Arif Imam Suroso
School Of Business, IPB University, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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Analysis of the Impact of Customer Experience and Engagement on Satisfaction and Loyalty in the Body Shop's Omnichannel Nurul Afiifah Ghifari; Arif Imam Suroso; Sufrin Hannan
Asian Journal of Social and Humanities Vol. 4 No. 4 (2026): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v4i4.665

Abstract

This study examines the impact of customer experience and engagement on customer satisfaction and loyalty within the omnichannel strategy employed by The Body Shop in Indonesia. As the cosmetic and personal care market experiences rapid growth, it is essential for companies to deliver an integrated experience across both online and offline channels. A seamless and consistent customer experience across various touchpoints can significantly enhance customer engagement, which in turn drives satisfaction and fosters loyalty. The research employs a quantitative approach with purposive sampling, analyzing data using Structural Equation Modeling-Partial Least Square (SEM-PLS). The results indicate that customer experience has a positive and significant effect on both engagement and satisfaction, which ultimately contributes to improved customer loyalty. The findings offer valuable insights for companies in shaping more effective omnichannel strategies, aiming to enhance customer satisfaction and loyalty in a sustainable manner. By understanding these dynamics, businesses can refine their approach to integrating online and offline experiences, ensuring they meet the evolving expectations of customers and strengthen long-term relationships. This research provides practical recommendations for companies in the cosmetic and personal care industry to remain competitive in an increasingly digital marketplace.
Time Series Forecasting of Environmental Dynamics in Urban Ecotourism Forest Using Deep Learning Ade Rahmat Iskandar; Arif Imam Suroso; Irman Hermadi; Lilik Budi Prasetyo
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1029

Abstract

Time Series Forecasting of Environmental Dynamics in urban forests is quite challenging, unless new approaches such as deep learning and remote sensing are employed. Deep learning-based time series algorithms offer robust scientific capabilities for forecasting and assessing sustainability trends using sequential data. Among these, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bidirectional LSTM (BiLSTM) have gained widespread adoption across various predictive modeling domains. In the present research, these algorithms are employed to analyze urban forest raster data derived from the Srengseng Ecotourism Forest, located in West Jakarta, Indonesia. The present study focuses on predicting the temporal patterns of key spatial indicators: Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and Forest Cover Density (FCD) in the Srengseng urban ecotourism forest area, spanning the years 2014 to 2024, through the application of LSTM, GRU, and BiLSTM deep learning architectures. The methodology used in this study is a combined approach involving remote sensing and deep learning. Spatial data were acquired through the delineation of a high-precision polygon of Srengseng Urban Forest using Google Earth Pro and Google Earth Engine (GEE). GeoTIFF datasets of NDVI, LST, and FCD for the years 2014–2024 were processed using Python-based modeling scripts. Model performance was evaluated through a comparative analysis of LSTM, GRU, and BiLSTM in predicting temporal trends in these ecological indicators. The results of this study show that the Bidirectional LSTM (BiLSTM) consistently demonstrated superior performance to predict all the data spatially, with scores of 0.94 for NDVI, 0.90 for FCD, and 0.85 for LST. Followed by LSTM that predicts NDVI (0.87), FCD (0.89), LST (0.83), as well as GRU, which can estimate spatial data NDVI (0.86), FCD (0.89), and LST (0.85). These results outperformed the predictive accuracy of both the standard LSTM and GRU models.
Indonesia's Position and Participation in The Global Value Chain of The Agriculture Sector Herry Nugraha; Rita Nurmalina; Noer Azam Achsani; Arif Imam Suroso; Suprehatin Suprehatin
Jurnal Manajemen dan Agribisnis Vol. 22 No. 1 (2025): JMA, Vol. 22 No. 1, March 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jma.22.1.105

Abstract

Background: The agricultural sector in Indonesia, contributing 13.7% to GDP and employing 30% of the workforce, is critical to the nation's economy. Despite its importance, the country's participation in the agricultural global value chain (GVC) faces persistent challenges, particularly in advancing agro-processing and integrating into high-value production. Purpose: This study analyzes Indonesia's GVC position and participation from 2007 to 2021, using the UIBE GVC Index and ADB ICIO data.Design/Methodology/Approach: Descriptive statistics and linear regression methods are used to assess Indonesia's forward and backward GVC participation compared to that of 62 other countries worldwide.Findings/Result: Findings reveal significant declines in Indonesia's backward participation, reflecting progress toward self-sufficiency, yet limited participation in complex forward and backward linkages underscores deficiencies in technological infrastructure and value-added exports. Moderate engagement in simple forward linkages highlights the need for targeted investments to boost competitiveness. Strategic interventions in infrastructure, advanced inputs, capacity-building, and global collaborations are essential for strengthening Indonesia's agricultural GVC role. Conclusion: To enhance GVC participation, Indonesia must address technological, infrastructure, and policy gaps. Strategic investments in agro-processing, advanced inputs, supply chain modernization, and international partnerships are critical to boosting competitiveness and export performance. Originality/Value (State of the Art): This study provides comprehensive insights for policymakers and stakeholders, emphasizing innovative strategies to enhance Indonesia’s global agricultural presence and achieve sustainable growth. Keywords: Agriculture, GVC Position, GVC Participation, Global Value Chain (GVC), UIBE GVC Index.
Challenges of Implementing Knowledge Management System Agribusiness for Aglaonema Farmers Yuni Sugiarti; Arif Imam Suroso; Irman Hermadi; Euis Sunarti; Fadhilah Bt Mat Yamin
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.44074

Abstract

Aglaonema plants have become an important element in people's lives, serving as home decorations and sources of income. Aglaonema cultivation is increasingly popular, opening up business opportunities for farmers. This plant is not just a hobby but a horticultural commodity with high economic value. This research aims to analyze the difficulties faced by Aglaonema farmers, from seedling to marketing. This research uses a constructivist paradigm and qualitative methods, involving 20 informants from among farmers, traders, buyers, extension workers, and farmer organizations. Data were collected through interviews, focus group discussions, and observations, with triangulation to validate the information. Data analysis was conducted using the NVivo application. The research results show that the main difficulties faced by Aglaonema farmers include unpredictable price fluctuations, limited varieties, weak communication among farmers, traditional seedling methods, and a lack of information about seed supply. These findings emphasize the need for information sharing between farmers and stakeholders to improve productivity and quality in agribusiness, in line with consumer demands and technological advancements, which can be implemented through a knowledge management system platform in the Aglaonema agribusiness supply chain.
The Effect of Tokopedia’s Online Advertising Value and Features on Consumers’ Use Behavior: A Study Utilizing UTAUT2 Kenny Masbagusdanta; Arif Imam Suroso; Bagus Sartono
Jurnal Organisasi dan Manajemen Vol. 22 No. 1 (2026)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jom.v22i1.7592.2026

Abstract

Purpose – This research examined the conditions as well as effects of Tokopedia's online video advertising value using UTAUT2 as the main framework. It also examined other factors that impact behavioral intention as well as Tokopedia's mobile application usage. Methodology – An online questionnaire was utilized to gather data from 191 respondents. The target respondents were YouTube users who watched Tokopedia’s online video ads as well as operated the Tokopedia mobile application. The collected data were subsequently examined using Structural Equation Modeling with SmartPLS. Findings – The results showed that entertainment as well as informativeness positively affected Tokopedia’s advertising value. Furthermore, habit, facilitating conditions, hedonic motivation, as well as effort expectancy positively affected behavioral intention to utilize the Tokopedia mobile application. Behavioral intention and habit also significantly affected use behavior. Originality – This study integrated the UTAUT with the advertising value model to investigate the influence of Tokopedia’s online video ads on the application usage.
Exploring multi-answer visual question answering with object detection: a systematic review Nidaul Hasanati; Taufik Djatna; Imas Sukaesih Sitanggang; Arif Imam Suroso
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1097-1114

Abstract

Visual question answering (VQA) is a challenging research area that enables machines to answer natural language questions based on visual content by jointly understanding images and text. Conventional VQA systems typically produce a single answer for each image–question pair. However, many real world visual questions are ambiguous or complex, allowing multiple valid answers to exist. This systematic literature review (SLR) focuses on multi answer VQA systems and the use of object detection, following the PRISMA 2020 guidelines. We analyzed 58 peer-reviewed journal articles retrieved from the Scopus database published between 2020 and 2025. Ten of these studies clearly stated that generating multiple answers was their main goal. Forty-eight others indirectly supported answer variability by using object-based or multi-instance reasoning. Through this review, we examine the current methodologies for supporting multi-answer generation, including model architecture, datasets, and evaluation metrics. Most multi answer generation approaches utilize attention mechanisms, graph neural networks, and transformer-based models. Additionally, we propose a taxonomy of multi-answer VQA organized along four dimensions. Limitations are identified in datasets and evaluation metrics (i.e., answer ambiguity/subjectivity). Future research should focus on improving model interpretability and designing an evaluation framework that incorporates subjective and context-sensitive responses.
Successful Organizational Transformation Strategy of PT Wijaya Karya (PERSERO) TBK Rian Rizki Yantama; Arif Imam Suroso; Arief Safari
Indonesian Journal of Multidisciplinary Science Vol. 5 No. 4 (2026): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v5i3.1227

Abstract

This study aims to examine the extent to which internal factors, external factors, transformation strategy, and organizational alignment influence the success of WIKA’s transformation agenda. An explanatory quantitative approach was employed using Structural Equation Modeling–Partial Least Squares (SEM-PLS), based on responses from 134 employees and structural officials directly involved in the transformation process. The study investigates five latent constructs: Internal Factors, External Factors, Transformation Strategy (sensing, seizing, and reconfiguring), Organizational Alignment (structural, process, cultural, and team-based consistency), and Transformation Success (financial and non-financial performance). Data analysis was conducted using SmartPLS through a comprehensive evaluation of both the measurement and structural models. The empirical results indicate that both internal and external factors serve as significant drivers of transformation strategy. Furthermore, transformation strategy exerts a substantial direct effect on organizational alignment, which functions as a critical mediating mechanism linking strategic direction to transformation success. Organizational alignment is also proven to have a strong direct impact on overall transformation performance, underscoring the importance of aligned structural design, cultural readiness, and human resource capabilities as prerequisites for successful change. This study enriches the theoretical discourse on organizational transformation in State-Owned Enterprises by integrating the perspectives of dynamic capabilities, strategic alignment, and change management. Practically, the findings offer actionable insights for WIKA and similar SOEs in formulating integrated, capability-oriented transformation roadmaps grounded in organizational culture.
Analisis Kriteria Penting Berjenjang untuk Seleksi Enterprise Resource Planning (ERP) pada Industri Otomotif Ratono, Joko; Seminar, Kudang Boro; Arkeman, Yandra; Suroso, Arif Imam
Jurnal Aplikasi Manajemen Vol. 13 No. 2 (2015)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

The selection of ERP is the first important phase in lifecycle of ERP adoption. Itinfluences the implementation and considers as one of critical success factors. There are sixhierarchical important criteria for the selection of ERP in which were developed in thisresearch, covering: quality standard of software product (ISO25010), quality of use(ISO25010), vendor & consultant, fit strategy with delta model theory, the change of managementand cost. Expert surveys and one-way ANOVA test were conducted in order to testthe validity of the criteria. The result shows that all six criteria above are the importantcriteria to be considered in ERP selection for automotive industry and have the same importancebetween each other.
Mapping of Productive Waqf Business Model Based on Business Model Canvas at RYDHA Foundation Abdul Latif; Arif Imam Suroso; Imam Teguh Saptono
Akuntansi Vol. 5 No. 2 (2026): Juni: Jurnal Riset Ilmu Akuntansi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/akuntansi.v5i2.3271

Abstract

Productive waqf can support social, educational, economic, health, humanitarian, and da'wah initiatives. The institutional management of productive waqf necessitates a thorough understanding of the business model to effectively target, sustain, and optimise social benefits. The Business Model Canvas is employed to delineate the profitable waqf business model of the RYDHA Foundation. This qualitative case study employs a specific methodology. Institutional records and comprehensive foundation management interviews yielded data. The analysis utilised nine areas of the Business Model Canvas: Customer Segments, Value Propositions, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partnerships, and Cost Structure. The RYDHA Foundation's business strategy, as per the study, is predicated on waqif and donor connections, socio-religious principles, communication and collection methods, income sources, primary resources, core activities, collaborations, and cost structures. The RYDHA Foundation operates as a socio-religious, belief-driven organization that generates social value through sustained engagement with waqif, donors, partners, and the community. Waqf institutions create, provide, and sustain social value through effective waqf management utilising the Business Model Canvas.
Time Series Forecasting of Environmental Dynamics in Urban Ecotourism Forest Using Deep Learning Ade Rahmat Iskandar; Arif Imam Suroso; Irman Hermadi; Lilik Budi Prasetyo
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1029

Abstract

Time Series Forecasting of Environmental Dynamics in urban forests is quite challenging, unless new approaches such as deep learning and remote sensing are employed. Deep learning-based time series algorithms offer robust scientific capabilities for forecasting and assessing sustainability trends using sequential data. Among these, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bidirectional LSTM (BiLSTM) have gained widespread adoption across various predictive modeling domains. In the present research, these algorithms are employed to analyze urban forest raster data derived from the Srengseng Ecotourism Forest, located in West Jakarta, Indonesia. The present study focuses on predicting the temporal patterns of key spatial indicators: Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and Forest Cover Density (FCD) in the Srengseng urban ecotourism forest area, spanning the years 2014 to 2024, through the application of LSTM, GRU, and BiLSTM deep learning architectures. The methodology used in this study is a combined approach involving remote sensing and deep learning. Spatial data were acquired through the delineation of a high-precision polygon of Srengseng Urban Forest using Google Earth Pro and Google Earth Engine (GEE). GeoTIFF datasets of NDVI, LST, and FCD for the years 2014–2024 were processed using Python-based modeling scripts. Model performance was evaluated through a comparative analysis of LSTM, GRU, and BiLSTM in predicting temporal trends in these ecological indicators. The results of this study show that the Bidirectional LSTM (BiLSTM) consistently demonstrated superior performance to predict all the data spatially, with scores of 0.94 for NDVI, 0.90 for FCD, and 0.85 for LST. Followed by LSTM that predicts NDVI (0.87), FCD (0.89), LST (0.83), as well as GRU, which can estimate spatial data NDVI (0.86), FCD (0.89), and LST (0.85). These results outperformed the predictive accuracy of both the standard LSTM and GRU models.
Co-Authors Abdul Latif Abdul Mufti Ade Rahmat Iskandar Adi Haryono Adler Haymans Manurung Agnes Monica Sihotang Agus Buono Agustian, Fajar Agustin Iterson Samosir Aida Vitayala Hubeis Aji Hermawan Akbar, M Lucky Akhmad Yani Qorry Alfonsia Febriyana Alfy Sukma Alyanesia Fadhiya Brigin Amru Sahmono Boang Manalu Andi Tenri Abeng Anggraini Sukmawati Anggraini, Raden Isma Anita Primaswari Widhiani Anto Tri Sugiarto Arief Ramadhan Arief Ramadhan Arief Safari Arif Wicaksono Aris Purwanto Arkeman, Yandra Arsyanur, Mustika Retno Asep Nurhalim Asep Taryana Azka Bazil Danish Rahmat Bachtiar, Muchamad Bagus Sartono Bahukeling, Trukan Sri Bambang Juanda Bandono, Bayu Bernadus, Benny Bimo Andono Budi Mulyanto Budi Setiawan Chandra, Mohamad Citra, Suryati Oka Dede Wahidin Jafar Desta Permasih Dewi Suryani Dirdjosaputro, Sukiswo Edi Suryanto Eko Agus Prasetio Eko Agus Prasetio Endang Gumbira Sa'id Erliza Noor Euis Sunarti Euis Sunarti Fadhil Muhammad Fadhilah Bt Mat Yamin Fahrillah, Ahmad Ariq Fajar Agustian Ferdi Novalendo Fety Nurlia Muzayanah Fildza Shabrina Meta Gunawan Gunawan Hadiwidjaja, Rini Dwiyani Hafizh, Muhammad Damar Hanindipto, Fasa Aditya Hansen Tandra Hansen Tandra Hansen Tandra Hariandja, Nancy Megawati Harianto Harianto Haryono, Adi Hendra Etri Gunawan Hendro Sasongko Heny Kuswanti Suwarsinah Hermanto Siregar Herry Nugraha Hilda Puspita Pratyaharani I Gusti Ayu Indira Maharani Idqan Fahmi Ilham Ananto Yuwono Illah Sailah Imam Teguh Saptono Irman Hermadi Iyung Pahan Jaman, Jajam Haerul Joko Ratono Joko Ratono Joko Ratono, Joko Juniar Prayogi Juniar Prayogi Kenny Masbagusdanta Khairiyah Kamilah Kudang B. Seminar Kudang Boro Seminar Lilik Budi Prasetyo Lilik Noor Yuliati Linda Karlina Sari Loeis, Minaldi Lukman M. Baga M, Misbahudddin M. Syamsul Maarif Maesaroh, Syti Sarah Marimin , Meilani, Lala Meuthia Rachmaniah Milda Muhamad Syukur Mukhamad Najib MULYANI Musa Hubeis Neni Seliana Nidaul Hasanati Nidaul Hasanati Nimmi Zulbainarni Nina Kurnia Dewi Ninuk Purnaningsih Noer Azam Achsani Nugraha, Windy Maudy Atiah Putri Nunki Malahayati Nur Adhita Rahmawati Nur Hasanah NUR HASANAH Nurhidayat, Ridwan Nurul Afiifah Ghifari Pahan, Iyung Popong Nurhayati Prabantarikso, Mahelan Pramadia Satriawan Priastuti, Dila Rafi Dharmawan Rahmana, Adhitya Rahmanto, Mohamad Ridwan Rian Rizki Yantama Rini Dwiyani Hadiwidjaja Rinova Budiman Ririn Wulandari Rita Nurmalina Rita Nurmalina Rivira Yuana Rizal Broer Bahaweres Rizal Syarief Rizal Syarief Rizal Syarief Rizal Syarief Rizal Syarief Rizki, Yanis Aulia Rizqi Sari Anggraini Rokhani Hasbullah Romayah, Siti Rotua Siahaan RR. Kathrin Irviana Ruth Johana Angelina Saiful Bahri Seliana, Neni Setiadi Djohar Setiadi Djohar Setyo Wibowo Shalihati, Fithriyyah Sitanggang, Imas S. Siti Jahroh Siti Romayah Suci Ramadhani, Suci Sufrin Hannan Sugiharto Soeleman Suhendi Suprehatin Supriyadi Supriyadi Sutriono Edi Tandra, Hansen Tanti Novianti Taufik Djatna Tendy Arya Pranata Trias Andati Trukan Sri Bahukeling Ujang Sumarwan Utami, Yulistiana Endah Widia Citra Anggundari Yamin, Fadhilah Bt Mat Yandra Arkeman Yani Nurhadryani YELLY REFITA Yuana, Rivira Yuni Sugiarti Yuni Sugiarti Yuni Sugiarti, Yuni Yunus Triyonggo Yunus Triyonggo, Yunus Yusman Syaukat Zahid, Rifqi Az